2-5 November 2020
Europe/Amsterdam timezone

AI and ML in Manufacturing: The DIGITbrain project - use cases and challenges on ICT infrastructures

4 Nov 2020, 11:55
Room: http://go.egi.eu/zoom1

Room: http://go.egi.eu/zoom1


Andre Stork


The DIGITbrain project aims to enable customised industrial products and to facilitate cost-effective distributed and localised production for manufacturing SMEs, by means of leveraging edge-, cloud- and HPC-based modelling, simulation, optimisation, analytics, and machine learning tools and by means of augmenting the concept of digital twin with a memorising capacity towards recording the provenance and boosting the cognition of the industrial product over its full lifecycle, and em­powering the network of DIHs to implement the smart business model “Manufacturing as a Service”.

As can be seen from the project description, DIGITbrain wants to span edge computing to high-performance computing in order to more efficiently create and utilize digital twins for rendering manufacturing more agile. Part of DIGITbrain are use cases, so-called application experiments. The talk will introduce the project’s motivation, goals and planned architecture, exemplify some of the use cases and hint at challenges towards ICT architectures in this setting.

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